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Machine Learning Engineer Starting Jobs in Claymont, DE

BE Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.

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All JobsMachine Learning Engineer Starting JobsMachine Learning Engineer Starting Jobs in Claymont, DE

Machine Learning Engineer Starting information

See Claymont, DE salary details

$30.7K

$125.6K

$188.8K

How much do machine learning engineer starting jobs pay per year?

As of Aug 29, 2026, the average yearly pay for machine learning engineer starting in Claymont, DE is $125,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $151,200.00 per year, depending on experience, location, and employer.

Are machine learning engineers still in demand?

Yes, machine learning engineers are in high demand across various industries such as technology, finance, healthcare, and automotive, due to the increasing adoption of AI and data-driven solutions. The role often requires skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, and job growth is expected to continue as organizations prioritize AI integration.

What are entry-level machine learning engineer jobs?

Entry-level machine learning engineer jobs typically involve developing and testing machine learning models, often requiring knowledge of programming languages like Python and familiarity with frameworks such as TensorFlow or PyTorch. These roles usually require a bachelor's degree in computer science, data science, or related fields, and may include tasks like data preprocessing, model evaluation, and collaboration with data teams.
Machine Learning Engineer Starting jobs near you

Principal Machine Learning Engineer

Apetan Consulting llc

Philadelphia, PA • On-site

$80 - $150/hr

Contractor

Re-posted 13 days ago

Job description

Title: Principal Machine Learning Engineer

Duration: 6 Mos C2H (without sponsorship)

Location: Hybrid in Philadelphia, PA onsite Tue & Wed each week (Local candidates preferred but, those willing to relocate are acceptable)

Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus on building, validating, deploying, and improving machine learning models, while also bringing principal-level judgment to problem definition, model design, stakeholder engagement, and production readiness.

Hands-On Model Development

  • Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support.
  • Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation.
  • Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness.
  • Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features.
  • Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries.
  • Move quickly from data exploration to prototype to validated model to production-ready capability.

 

Required Qualifications

  • Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields.
  • 5+ years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration.
  • 3+ years of experience deploying, operationalizing, or supporting models in production or business-critical environments.
  • Strong hands-on experience with Python and SQL.
  • Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies.
  • Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management.
  • Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes.
  • Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders.
  • Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability.
  • Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment.

Scoring, Scorecards, and Transparent Models

Production ML and MLOps

Product and Rapid-Build Execution

Generative AI and AI Automation

Requirement Shaping and Stakeholder Partnership